You will get AI-Powered Customer Retention & Churn Prediction Suite
Rising Talent
Project details
Stop Losing Revenue: AI-Powered Customer Retention & Churn Prediction Suite
Are you tired of seeing valuable customers leave without knowing why? Most churn models just give you a "yes/no" answer. EcomInsight AI provides a complete strategic ecosystem.
What sets this project apart is its Business First approach:
Financial Risk Quantification: I don’t just predict churn; I calculate the exact revenue at risk ($), helping you prioritize high-value customers immediately.
Explainable AI (XAI): Using SHAP values, I reveal the "why" behind every prediction. You’ll understand if a customer is leaving due to pricing, tenure, or behavioral changes.
Real-Time Simulation: Through the custom Streamlit dashboard, your team can simulate "What-If" scenarios to test retention strategies before implementing them.
Production-Ready Code: This isn't just a notebook. It’s a full-stack architecture featuring a FastAPI backend, professional feature engineering, and automated testing.
Whether you are an e-commerce startup or an established brand, this suite turns raw data into a proactive retention roadmap. Let’s stop the churn and start recovering your revenue today!
Are you tired of seeing valuable customers leave without knowing why? Most churn models just give you a "yes/no" answer. EcomInsight AI provides a complete strategic ecosystem.
What sets this project apart is its Business First approach:
Financial Risk Quantification: I don’t just predict churn; I calculate the exact revenue at risk ($), helping you prioritize high-value customers immediately.
Explainable AI (XAI): Using SHAP values, I reveal the "why" behind every prediction. You’ll understand if a customer is leaving due to pricing, tenure, or behavioral changes.
Real-Time Simulation: Through the custom Streamlit dashboard, your team can simulate "What-If" scenarios to test retention strategies before implementing them.
Production-Ready Code: This isn't just a notebook. It’s a full-stack architecture featuring a FastAPI backend, professional feature engineering, and automated testing.
Whether you are an e-commerce startup or an established brand, this suite turns raw data into a proactive retention roadmap. Let’s stop the churn and start recovering your revenue today!
Machine Learning Tools
pandas, Python, Python Scikit-LearnWhat's included
| Service Tiers |
Starter
$150
|
Standard
$450
|
Advanced
$1,250
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 4 |
Number of Scenarios | 2 | 5 | 10 |
Number of Graphs/Charts | 3 | 6 | 12 |
Model Validation/Testing | - | ||
Model Documentation | |||
Data Source Connectivity | - | - | |
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $150
Additional Revision
+$50Frequently asked questions
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MB
Mariam B.
Dec 27, 2025
Stata Data Analysis for Research
About Melek
Data Analyst | Profitability, Revenue & Business Intelligence Analysis
Mersin, Turkey - 10:22 am local time
My focus is not only to analyze data, but to uncover structural patterns that drive revenue, customer behavior, and long-term growth.
I use Python (Pandas, NumPy), SQL, and statistical modeling techniques to transform complex datasets into predictive and decision-oriented insights. My approach goes beyond reporting I aim to build analytical frameworks that support smarter strategic decisions.
I have developed end-to-end analytics projects in revenue optimization, customer segmentation, churn analysis, and performance modeling, designed to reflect real-world business complexity.
Whether you need deep exploratory analysis, structured forecasting, or strategic insight generation, I bring a methodical, business-aware, and forward-thinking perspective to every project.
Steps for completing your project
After purchasing the project, send requirements so Melek can start the project.
Delivery time starts when Melek receives requirements from you.
Melek works on your project following the steps below.
Revisions may occur after the delivery date.
Data Audit & Cleaning (1-2 Days)
I will analyze your raw data, handle missing values, and ensure features are ready for the AI model.
Model Training & Optimization (3-5 Days)
Training the LightGBM/Random Forest models and performing hyper-parameter tuning to achieve maximum accuracy.